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Machine Learning Computer Science

Location:
Quan 1, 710000, Vietnam
Salary:
1 - 3M VNĐ
Posted:
April 01, 2024

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Resume:

HUYNH QUOC THANG

MACHINE LEARNING - INTERNSHIP

Dob: 26-10-2001

Gender: Male

Phone: 036*******

Email: ad4pab@r.postjobfree.com

Website: www.facebook.com/thang.huynhquoc.3511?locale=vi_VN Address: 397 Tran Xuan Soan, Tan Kieng, D7

SUMMARY

I'm 4th-year student pursuing a degree Computer Science at Ton Duc Thang University. With the knowledge I got from school, I look forward to working as intern Machine Learning. I will try complete assignedtasks well, learn more professional experience. EDUCATION

2020 - 2024 (expected) TON DUC THANG UNIVERSITY

COMPUTER SCIENCE - GPA : 2.95/4

Main course : Data Structures and Algorithm, Machine Learning, Deep Learning, Digital Image Processing, Data Mining and Knowledge Discovery, Big Data TECHNICAL SKILLS

Programming Laguages Python, SQL, Java

Frameworks/Platforms Numpy, Pandas, Seaborn, Matplotlib, Scikit-learn, Pytorch, TensorFlow, OpencCV IDEAs Jupyter NoteBook, Visual Studio Code

SOFT SKILLS

5S and Kaizen Skills, Team Building and Leadership Skills, Decision-making Skills CERTIFICATIONS

IBM - 2024 Machine Learning for Python Deep Neural Network with Pytorch Cambridge - 2022 B1 - Preliminary

PROJECTS

12/2023 - 03/2024 DETECTING REAL-TIME FAULTS IN GRID-CONNECTED SOLAR POWER SYSTEMS BASED ON MACHINE LEARNING AND DEEP LEARNING MODELS

Machine Learning

Collect the IPPT/MPPT dataset, then preprocess and visualize. Predict problems including 8 defects using supervised machine learning models and artificial neural networks for classification. Adjust parameters to achieve optimal model performance and use a number of evaluation methods.

Programming : Python

Frameworks : Numpy, Pandas, Seaborn, Matplotlib, Scikit-learn, TensorFlow Github : https://github.com/ohelra/models_ML_DL_IPPT_MPPT 02/2024 - 03/2024 RAIN PREDICTION IN AUSTRALIA - IBM Machine Learning

Data collection and preprocessing Rainfall Patterns in Australia, then using machine learning supervise learning to predict "Raintoday" and "Raintomorrow". Evaluating model performance. Programming : Python

Frameworks : Numpy, Pandas, Seaborn, Matplotlib, Scikit-learn Github : https://github.com/ohelra/models-rainfallpattern © topcv.vn



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